According to a recent survey by IDC, of the organizations already using artificial intelligence solutions, only 25% have developed an enterprise-wide AI strategy. What’s holding them back? Well, according to that same survey, most failed AI projects occur due to lack of skills, staff and resources, as well as unrealistic expectations. So, how can you avoid and/or overcome these common roadblocks with your own intelligent automation implementation? The following five tips should help set you up for success.
Start with the right partner/product.
First and foremost, you want to make sure the technology vendor you choose to work with is reputable and offers a robust, agile and scalable product. The right intelligent automation platform can easily make up for three of the main causes of implementation failure: lack of skills, resources and staff. But remember – not all products or vendors are created equal. Look for a partner that has a proven track record with other satisfied clients and offers plenty of support after the sale, not just before it.
Assemble the right team.
If enterprise-wide proliferation of intelligent automation is your goal, then handing it off as a part-time project to team members who are already juggling a full workload won’t help you achieve it. Being successful with AI requires an all-hands-on-deck approach, and for that, a dedicated team is necessary. If you can’t afford to hire experts? No problem. Train and reskill your existing staff. Just don’t make it an afterthought, or the results will suffer.
Align your goals (and be realistic).
As mentioned, one of the main reasons an intelligent automation initiatives fails is unrealistic expectations. If you’re heading into the project thinking you’re going to automate everything right out of the gate, there’s a massively good chance you’re going to end up disappointed. Instead, start slow and work your way up. Identify and automate the areas of your business that will produce the quickest and most impactful ROI, and that directly support the company’s overarching goals and objectives.
Take time to understand AI decisions.
When adopting artificial intelligence, it’s crucial that you are able to understand the ‘why’ behind each decision made by AI. Taking a lackadaisical approach simply won’t cut it. For instance, if your AI is automatically approving some applications but declining others, you need to be able to confidently point to the factors that went into those decisions. This is important because while AI has come a long way, it’s not 100% infallible. Being able to quickly and effectively address and correct mistakes is key.
Keep it real.
Let’s face it. Change can be a scary thing. And perhaps nothing is more fear-inducing to a human employee than the idea that intelligent automation is going to render them irrelevant. You can’t expect to successfully achieve organization-wide AI if you don’t have the support and cooperation of everyone – especially those who will be directly impacted. People will inevitably have questions. Be open, honest and transparent. Communicate clearly and consistently how the impending changes will not threaten but instead improve their lives. Change doesn’t have to be a roadblock, as long as you manage it.
Without question, intelligent automation, powered by AI and machine learning, is poised to become a complete game-changer. The challenge lies in an organization’s ability to effectively implement it. By following the five tips listed above, you can avoid the common pitfalls plaguing so many others and position your company a step ahead of the game.
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